Ayur | Devpost

Call from Twilio

Inspiration 💡

Taking medicine on time is a must, but sometimes we forget due to our busy schedules. That's why we created Ayur, a personal medicine scheduler that ensures you never miss a dose. Its standout feature is reminding not only you but also alerting designated contacts by making a call if you haven't taken your medicine.

What it does ❓

Schedules medicine for you.
Sends reminders to your phone.
If reminders are ignored, it makes a call (making sure you don't skip your medicine).
Analyzes symptoms and provides possible causes and precautions using PaLM 2.

How we built it 🤔

Technologies used:

Flask: for building the API.
PostgreSQL: for data storage.
Gunicorn: for hosting the API.
PaLM 2: to suggest possible causes and precautions.
Flutter: to design the user interface.
Twilio: for user authentication and phone call reminders.

Challenges we ran into 🧠

Running a process in the background and triggering a function at a scheduled time on Android.
Implementing phone call functionality if the user didn't respond to the medicine notification. We achieved this by using time-triggered Azure functions and periodic checks.

Accomplishments that we're proud of 😎

We take pride in the following achievements:

Completing the project within the specified time limit.
Utilizing Marshmallow and flask-smorest to create a structured API, even though it required extra time.
Leveraging the PaLM 2 model to suggest causes and precautions.

What we learned 📑

Throughout this project, we gained valuable insights and learned to use various technologies, including:

Flask-smorest, Flask-JWT, Marshmallow, Azure functions, and Cron Jobs for backend development.
Method channels and function scheduling for the Android side.
Utilizing PaLM 2 by Google to analyze symptoms.

What's next for Ayur 🤖

The ability to share medication schedules with caregivers.
Enhanced User Experience: We're committed to refining the app's interface and usability based on user feedback. Seamlessly navigating through the app and managing health will become even more intuitive.
AI Advancements: Ayur will continually evolve its AI capabilities, ensuring more accurate symptom analysis and providing even better recommendations for causes and precautions.
Customized Health Insights: We aim to offer personalized health insights based on an individual's medical history, preferences, and lifestyle. Tailoring suggestions will make Ayur an indispensable health companion.

GitHub Repository Contains 🚀

Automated welcome message for first-time contributors.
Templates for creating new issues (bug reports, feature requests, or custom issues).
Templates for creating pull requests.
Contributing guidelines.
Code of conduct.
MIT License for the project.

FAQS 🙋

1. What is Ayur?

Ayur is a personalized medicine scheduling app with advanced AI insights for timely medication reminders and detailed health guidance.

2. What sets Ayur apart from other medication management apps?

Ayur's integration of proactive voice calls, AI insights, and personalized scheduling distinguishes it, offering a comprehensive healthcare solution.

3. Is Ayur suitable for caregivers or family members managing medications for others?

Absolutely, Ayur is user-friendly and can be utilized by caregivers or family members to manage medications for their loved ones. Its intuitive interface and comprehensive features make medication management seamless for everyone involved.

4. Can Ayur be customized for specific health conditions?

Yes, Ayur is designed to be adaptable. While it provides general medication scheduling and health insights, it can be tailored for specific health conditions, ensuring personalized care and guidance.

5. Is Ayur secure? Yes, Ayur ensures data security with end-to-end encryption and secure communication protocols.